Improving Big Data Analytics with Machine Learning-as-a-Service - DATAVERSITY

Machine Learning-as-a-Service (MLaaS) exists as the nexus point for some of the most promising technologies and applications of Big Data analytics. The cumulative effect is that Machine Learning-as-a-Service expands on the possibilities of Big Data analytics while making them more accessible than ever before. "These value points derive from Machine Learning's core function: enabling analytics algorithms to learn from fresh feeds of data without constant human intervention and without explicit programming." Some of the most eminent Cloud service providers (Amazon, Google, Microsoft, IBM) are offering MLaaS either independently or as part of other platforms. Twitter recently underscored the importance of Machine Learning by acquiring Whetlab, a Machine Learning startup. Perhaps the most immediate of the aforementioned ramifications of MLaaS is the fact that it enables developers to readily incorporate Machine Learning into their applications.